
Trainer for CAD, Artificial Intelligence, and Engineering
Posted Oct 21

Posted Oct 21
This is a fully remote position, open to applicants in Germany.
• Deliver hands-on training on the basics and possibilities of AI in engineering.
• Instruct on AI-enhanced techniques for the design and development process.
• Teach contemporary CAD workflows that are supported by AI.
• Provide instruction on Generative Design and the automated generation of design variants.
• Educate on AI-assisted decision-making support in product development.
• Teach AI-driven error detection and quality assurance methodologies.
• Assess and validate design outcomes generated by AI.
• Guide the effective incorporation of AI into current development and design workflows.
• Convey knowledge in a practical, clear, and audience-centric manner.
• Clarify the entire design cycle in an understandable fashion—from requirements and concept development to design, variant generation, optimization, evaluation, and documentation.
• A completed university degree or technical vocational training in mechanical engineering, design engineering, product development, or a related field.
• A minimum of two years of professional experience in design, development, or technical engineering.
• Strong proficiency in at least one of the following CAD systems: Autodesk Inventor, Autodesk Fusion, AutoCAD, or SolidWorks.
• Familiarity with parametric design and modern CAD workflows.
• Comprehensive understanding of product development and design processes within mechanical engineering.
• Practical experience leveraging AI throughout the development and design processes.
• Experience utilizing generative AI systems such as Microsoft Copilot, ChatGPT, or similar solutions.
• Capability to evaluate AI-generated results professionally in terms of functionality, feasibility, manufacturability, and cost-effectiveness.
• Preferred: Experience with AI functionalities in modern CAD systems.
• Preferred: Knowledge in Generative Design and topology optimization.
• Preferred: Awareness of current advancements in AI relevant to design and engineering.
• Preferred: Experience in optimizing development and design processes.
• Preferred: Knowledge of parametric variant design.
• Preferred: Experience in prompt engineering for technical applications.
• Preferred: Understanding of data protection, copyright, and responsible AI usage in a corporate context.
• Preferred: Experience in supporting practical projects or workshops.
• Advantageous: Familiarity with Autodesk Fusion Generative Design or similar solutions.
• Advantageous: Knowledge of Autodesk AI and/or SolidWorks AI.
• Advantageous: Experience with AI-assisted error detection and quality assurance.
• Advantageous: Background in automated design variant development.
• Advantageous: Experience with rule-based design methods or CAD automation.
• Advantageous: Knowledge of simulation, digital engineering, or digital twins.
• Advantageous: A trainer aptitude certificate (AEVO) or equivalent pedagogical qualification is favorable.
• No specialized research expertise in artificial intelligence or software development is required.
• Tailored opportunities for both professional and personal growth.
• Independent working environment.
• Long-term job security.
• Competency-based, equitable, and dependable assignment planning.
• Flexible remote work options.
• Well-structured advance planning period ranging from three to nine months.
• Opportunities for virtual networking.
• Remote teaching facilitated through Microsoft 365.
• An innovative workplace atmosphere.
• A friendly and supportive team culture.
• Open and transparent communication.
• Active collaboration among trainers.
• Participation in digital networking events.
• Access to discounted seminars.
• Comprehensive onboarding process.
• Discounts available for obtaining the trainer aptitude certificate (AEVO).
Mindrift
Mindrift
Mindrift
Mindrift
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